{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"员工满意度预测赛.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true,"mount_file_id":"1iEmazZdPE59n83BnthbtQAobMavuSZJd","authorship_tag":"ABX9TyOICXMGWP07hZnHW323AMw2"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"-T3DkFBj5_Ui","colab_type":"text"},"source":["# pd.DataFrame改进版"]},{"cell_type":"markdown","metadata":{"id":"hMivamMw6VDP","colab_type":"text"},"source":["源代码："]},{"cell_type":"code","metadata":{"id":"x3XT7iFbBd40","colab_type":"code","colab":{}},"source":["import pandas as pd\n","import numpy as np\n","\n","\n","class DataFrameInfo(pd.DataFrame):\n","    '''\n","    定义一个类，继承pandas.DataFrame，方便查看数据和其他EDA定制化数据查看需求。\n","    '''\n","\n","    def preview(self):\n","        '''\n","        用于数据预览，查看数据集的各种数据属性。\n","\n","\n","        returns:\n","\n","        total: 数量,\n","        na: 空值,\n","        naPercent: 空值所占该列比例,\n","        dtype: 该列的数据类型(dtype),\n","        max: 该列最大值,\n","        75%: 75%分位数,\n","        median: 中位数,\n","        25%: 25%分位数,\n","        min:该列最小值,\n","        mean: 均值,\n","        mode: 众数,\n","        variation: 异众比率,\n","        std: 标准差,\n","        skew: 偏度系数,\n","        kurt: 峰度系数,\n","        sampleVals: 随机返回该列两个值\n","        '''\n","        ind = self.index\n","        col = self.columns\n","        ind_len = self.shape[0]\n","        col_len = len(col)\n","        df = pd.DataFrame(columns=['total', 'na', 'naPercent', 'dtype', 'max', '75%', 'median',\n","                                   '25%', 'min', 'mean', 'mode', 'variation', 'std', 'skew', 'kurt', 'sampleVals'])\n","\n","        pointer = 0\n","        for i in col:\n","            sampleVals = ' || '.join([str(self[i][j]) for j in np.random.randint(ind_len, size=2)])\n","            if sum(self.iloc[:, pointer].apply(lambda s: isinstance(s, (float, int)))) == \\\n","                    len(self.iloc[:, pointer]):\n","                value = {'total': ind_len,\n","                         'na': self[i].isnull().sum(),\n","                         'naPercent': self[i].isnull().sum() / ind_len,\n","                         'dtype': self[i].dtype,\n","                         'max': self[i].max(),\n","                         '75%': self[i].quantile(0.75),\n","                         'median': self[i].median(),\n","                         '25%': self[i].quantile(0.25),\n","                         'min': self[i].min(),\n","                         'mean': self[i].mean(),\n","                         'mode': self[i].value_counts(ascending=False).index[0],\n","                         'variation': self[i].value_counts(ascending=False).values[1:].sum() / ind_len,\n","                         'std': self[i].std(),\n","                         'skew': self[i].skew(),\n","                         'kurt': self[i].kurt(),\n","                         'sampleVals': sampleVals\n","                         }\n","            else:\n","                value = {'total': ind_len,\n","                         'na': self[i].isnull().sum(),\n","                         'naPercent': self[i].isnull().sum() / ind_len,\n","                         'dtype': self[i].dtype,\n","                         'max': np.nan,\n","                         '75%': np.nan,\n","                         'median': np.nan,\n","                         '25%': np.nan,\n","                         'min': np.nan,\n","                         'mean': np.nan,\n","                         'mode': self[i].value_counts(ascending=False).index[0],\n","                         'variation': self[i].value_counts(ascending=False).values[1:].sum() / ind_len,\n","                         'std': np.nan,\n","                         'skew': np.nan,\n","                         'kurt': np.nan,\n","                         'sampleVals': sampleVals\n","                         }\n","            df.loc[i] = pd.Series(value, name=i)\n","            pointer += 1\n","\n","        return df\n","\n","    def _countNullStringAndGetType(self, col):\n","        '''\n","        判断传入列的每个值是否为空字符串，并获取该值数据类型。\n","\n","        params:\n","        col: pandas Series\n","\n","        returns：\n","\n","        一个列表，包含该列的空字符串数目、以及一个该列所有值的数据类型的set集合。\n","        '''\n","        count = 0\n","        types = set()\n","        for j in col:\n","            if isinstance(j, str) and j.strip() == \"\":\n","                count += 1\n","            types.add(type(j))\n","\n","        return [count, types]\n","\n","    def abnormal(self):\n","        '''\n","        查看数据集的异常值情况。\n","\n","\n","        returns：\n","\n","        na: 该列的空值数目,\n","        nullStrings: 该列空字符串数目,\n","        valueTypes：该列所有数值的数据类型set集合\n","        '''\n","\n","        df = pd.DataFrame(columns=['na', 'nullStrings', 'valueTypes'])\n","\n","        for i in self.columns:\n","            df.loc[i] = pd.Series({\n","                'na': sum(self[i].isna()),\n","                'nullStrings': self._countNullStringAndGetType(self[i])[0],\n","                'valueTypes': self._countNullStringAndGetType(self[i])[1]\n","            }, name=i)\n","\n","\n","        return df\n","\n","\n","\n","dfi = DataFrameInfo"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"ZX1vAHAxBg7d","colab_type":"text"},"source":["# 导入所需的包和模块"]},{"cell_type":"code","metadata":{"id":"v0cNiNVbBd4Y","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":147},"executionInfo":{"status":"ok","timestamp":1595249361008,"user_tz":-480,"elapsed":2397,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"c3da69a8-9ead-486b-fcfe-51c7da9882ed"},"source":["import pandas as pd\n","import numpy as np\n","import matplotlib as mpl\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import warnings\n","import missingno as msno\n","from imblearn.over_sampling import RandomOverSampler\n","from sklearn.model_selection import train_test_split\n","from sklearn.preprocessing import OneHotEncoder, OrdinalEncoder\n","from sklearn.feature_selection import SelectKBest, mutual_info_regression\n","from sklearn.feature_selection import SelectFromModel\n","from sklearn.ensemble import RandomForestRegressor\n","from sklearn.metrics import mean_squared_error\n","from sklearn.pipeline import Pipeline\n","from sklearn.preprocessing import PolynomialFeatures\n","from sklearn.linear_model import LinearRegression\n","from sklearn.model_selection import cross_val_score\n","from sklearn.linear_model import LassoCV\n","from sklearn.linear_model import RidgeCV\n","from xgboost import XGBRegressor\n","from sklearn.svm import LinearSVR\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.model_selection import GridSearchCV\n","from lightgbm import LGBMRegressor\n","from mlxtend.regressor import StackingCVRegressor\n","from sklearn.ensemble import GradientBoostingRegressor\n","from sklearn.tree import DecisionTreeRegressor\n","\n","warnings.filterwarnings(\"ignore\")\n","\n","%matplotlib inline"],"execution_count":1,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n","  import pandas.util.testing as tm\n","/usr/local/lib/python3.6/dist-packages/sklearn/externals/six.py:31: FutureWarning: The module is deprecated in version 0.21 and will be removed in version 0.23 since we've dropped support for Python 2.7. Please rely on the official version of six (https://pypi.org/project/six/).\n","  \"(https://pypi.org/project/six/).\", FutureWarning)\n","/usr/local/lib/python3.6/dist-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.neighbors.base module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.neighbors. Anything that cannot be imported from sklearn.neighbors is now part of the private API.\n","  warnings.warn(message, FutureWarning)\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"m-bY4jIlBd4-","colab_type":"code","colab":{}},"source":["train_set = pd.read_csv(\"/content/drive/My Drive/竞赛/员工预测赛/Employee_Satisfaction/训练集.csv\")\n","test_set = pd.read_csv(\"/content/drive/My Drive/竞赛/员工预测赛/Employee_Satisfaction/测试集.csv\")"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"zSNdb3abBd5I","colab_type":"code","colab":{}},"source":["# col = ['id','上次评分','项目数量','平均月工时','工龄','工伤','福利等级','五年内有升职','部门','工资水平','满意度']\n","\n","train = train_set.copy()\n","test = test_set.copy()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"ICZIfSwzSFKr","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":419},"executionInfo":{"status":"ok","timestamp":1595209209245,"user_tz":-480,"elapsed":4089,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"d3313c97-d865-4360-ebf1-e7f4488dd790"},"source":["train"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>id</th>\n","      <th>last_evaluation</th>\n","      <th>number_project</th>\n","      <th>average_monthly_hours</th>\n","      <th>time_spend_company</th>\n","      <th>Work_accident</th>\n","      <th>package</th>\n","      <th>promotion_last_5years</th>\n","      <th>division</th>\n","      <th>salary</th>\n","      <th>satisfaction_level</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>13697</td>\n","      <td>0.99</td>\n","      <td>3</td>\n","      <td>161.39</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>a</td>\n","      <td>0</td>\n","      <td>accounting</td>\n","      <td>medium</td>\n","      <td>0.681</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1142</td>\n","      <td>1.00</td>\n","      <td>5</td>\n","      <td>226.22</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>b</td>\n","      <td>0</td>\n","      <td>marketing</td>\n","      <td>low</td>\n","      <td>0.876</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>7954</td>\n","      <td>0.91</td>\n","      <td>5</td>\n","      <td>199.45</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>e</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>medium</td>\n","      <td>0.955</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2225</td>\n","      <td>0.51</td>\n","      <td>3</td>\n","      <td>235.14</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>c</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>low</td>\n","      <td>0.817</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>9753</td>\n","      <td>0.89</td>\n","      <td>3</td>\n","      <td>219.91</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>a</td>\n","      <td>0</td>\n","      <td>technical</td>\n","      <td>low</td>\n","      <td>0.920</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>11994</th>\n","      <td>11971</td>\n","      <td>0.89</td>\n","      <td>4</td>\n","      <td>150.45</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>e</td>\n","      <td>0</td>\n","      <td>accounting</td>\n","      <td>high</td>\n","      <td>0.849</td>\n","    </tr>\n","    <tr>\n","      <th>11995</th>\n","      <td>14966</td>\n","      <td>0.81</td>\n","      <td>5</td>\n","      <td>221.28</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>b</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>low</td>\n","      <td>0.836</td>\n","    </tr>\n","    <tr>\n","      <th>11996</th>\n","      <td>7491</td>\n","      <td>0.60</td>\n","      <td>4</td>\n","      <td>136.36</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>c</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>medium</td>\n","      <td>0.915</td>\n","    </tr>\n","    <tr>\n","      <th>11997</th>\n","      <td>12680</td>\n","      <td>0.84</td>\n","      <td>6</td>\n","      <td>268.54</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>b</td>\n","      <td>0</td>\n","      <td>IT</td>\n","      <td>low</td>\n","      <td>0.099</td>\n","    </tr>\n","    <tr>\n","      <th>11998</th>\n","      <td>9056</td>\n","      <td>0.84</td>\n","      <td>2</td>\n","      <td>191.60</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>c</td>\n","      <td>0</td>\n","      <td>support</td>\n","      <td>low</td>\n","      <td>0.738</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>11999 rows × 11 columns</p>\n","</div>"],"text/plain":["          id  last_evaluation  ...  salary  satisfaction_level\n","0      13697             0.99  ...  medium               0.681\n","1       1142             1.00  ...     low               0.876\n","2       7954             0.91  ...  medium               0.955\n","3       2225             0.51  ...     low               0.817\n","4       9753             0.89  ...     low               0.920\n","...      ...              ...  ...     ...                 ...\n","11994  11971             0.89  ...    high               0.849\n","11995  14966             0.81  ...     low               0.836\n","11996   7491             0.60  ...  medium               0.915\n","11997  12680             0.84  ...     low               0.099\n","11998   9056             0.84  ...     low               0.738\n","\n","[11999 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":58}]},{"cell_type":"markdown","metadata":{"id":"Dqtwb4p8Bd5S","colab_type":"text"},"source":["# 查看数据集信息"]},{"cell_type":"code","metadata":{"id":"nA-CY0JfBd5U","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":390},"executionInfo":{"status":"ok","timestamp":1595209209245,"user_tz":-480,"elapsed":4033,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"5e13b3d2-4fb2-49f4-965b-c4e1706efbb5"},"source":["train = dfi(train)\n","train.preview()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>total</th>\n","      <th>na</th>\n","      <th>naPercent</th>\n","      <th>dtype</th>\n","      <th>max</th>\n","      <th>75%</th>\n","      <th>median</th>\n","      <th>25%</th>\n","      <th>min</th>\n","      <th>mean</th>\n","      <th>mode</th>\n","      <th>variation</th>\n","      <th>std</th>\n","      <th>skew</th>\n","      <th>kurt</th>\n","      <th>sampleVals</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>id</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>14998</td>\n","      <td>11248.500</td>\n","      <td>7532.000</td>\n","      <td>3750.500</td>\n","      <td>0</td>\n","      <td>7507.265855</td>\n","      <td>2047</td>\n","      <td>0.999917</td>\n","      <td>4328.395859</td>\n","      <td>-0.004826</td>\n","      <td>-1.198865</td>\n","      <td>13954 || 6984</td>\n","    </tr>\n","    <tr>\n","      <th>last_evaluation</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>float64</td>\n","      <td>1</td>\n","      <td>0.870</td>\n","      <td>0.720</td>\n","      <td>0.560</td>\n","      <td>0.35</td>\n","      <td>0.715750</td>\n","      <td>0.54</td>\n","      <td>0.975998</td>\n","      <td>0.170733</td>\n","      <td>-0.022749</td>\n","      <td>-1.229689</td>\n","      <td>0.56 || 0.54</td>\n","    </tr>\n","    <tr>\n","      <th>number_project</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>7</td>\n","      <td>5.000</td>\n","      <td>4.000</td>\n","      <td>3.000</td>\n","      <td>2</td>\n","      <td>3.795816</td>\n","      <td>4</td>\n","      <td>0.710226</td>\n","      <td>1.229931</td>\n","      <td>0.341848</td>\n","      <td>-0.490997</td>\n","      <td>5 || 4</td>\n","    </tr>\n","    <tr>\n","      <th>average_monthly_hours</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>float64</td>\n","      <td>313.11</td>\n","      <td>246.020</td>\n","      <td>201.020</td>\n","      <td>157.135</td>\n","      <td>95.1</td>\n","      <td>202.201511</td>\n","      <td>236.66</td>\n","      <td>0.999417</td>\n","      <td>49.887899</td>\n","      <td>0.055967</td>\n","      <td>-1.137477</td>\n","      <td>148.1 || 136.98</td>\n","    </tr>\n","    <tr>\n","      <th>time_spend_company</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>10</td>\n","      <td>4.000</td>\n","      <td>3.000</td>\n","      <td>3.000</td>\n","      <td>2</td>\n","      <td>3.500875</td>\n","      <td>3</td>\n","      <td>0.568547</td>\n","      <td>1.464127</td>\n","      <td>1.868202</td>\n","      <td>4.839692</td>\n","      <td>6 || 2</td>\n","    </tr>\n","    <tr>\n","      <th>Work_accident</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>1</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","      <td>0</td>\n","      <td>0.145179</td>\n","      <td>0</td>\n","      <td>0.145179</td>\n","      <td>0.352296</td>\n","      <td>2.014674</td>\n","      <td>2.059253</td>\n","      <td>0 || 0</td>\n","    </tr>\n","    <tr>\n","      <th>package</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>c</td>\n","      <td>0.741395</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>a || e</td>\n","    </tr>\n","    <tr>\n","      <th>promotion_last_5years</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>1</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","      <td>0</td>\n","      <td>0.020585</td>\n","      <td>0</td>\n","      <td>0.020585</td>\n","      <td>0.141996</td>\n","      <td>6.753619</td>\n","      <td>43.618639</td>\n","      <td>0 || 0</td>\n","    </tr>\n","    <tr>\n","      <th>division</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>sales</td>\n","      <td>0.724727</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>sales || IT</td>\n","    </tr>\n","    <tr>\n","      <th>salary</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>low</td>\n","      <td>0.509459</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>low || medium</td>\n","    </tr>\n","    <tr>\n","      <th>satisfaction_level</th>\n","      <td>11999</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>float64</td>\n","      <td>1</td>\n","      <td>0.817</td>\n","      <td>0.646</td>\n","      <td>0.439</td>\n","      <td>0.076</td>\n","      <td>0.613853</td>\n","      <td>1</td>\n","      <td>0.996166</td>\n","      <td>0.249038</td>\n","      <td>-0.484753</td>\n","      <td>-0.671267</td>\n","      <td>0.359 || 0.168</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                       total na  ...       kurt       sampleVals\n","id                     11999  0  ...  -1.198865    13954 || 6984\n","last_evaluation        11999  0  ...  -1.229689     0.56 || 0.54\n","number_project         11999  0  ...  -0.490997           5 || 4\n","average_monthly_hours  11999  0  ...  -1.137477  148.1 || 136.98\n","time_spend_company     11999  0  ...   4.839692           6 || 2\n","Work_accident          11999  0  ...   2.059253           0 || 0\n","package                11999  0  ...        NaN           a || e\n","promotion_last_5years  11999  0  ...  43.618639           0 || 0\n","division               11999  0  ...        NaN      sales || IT\n","salary                 11999  0  ...        NaN    low || medium\n","satisfaction_level     11999  0  ...  -0.671267   0.359 || 0.168\n","\n","[11 rows x 16 columns]"]},"metadata":{"tags":[]},"execution_count":59}]},{"cell_type":"code","metadata":{"id":"PSo8-fusBd5d","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":359},"executionInfo":{"status":"ok","timestamp":1595209209553,"user_tz":-480,"elapsed":4269,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"c0dccba9-7699-452d-89b1-99b5e3c581fc"},"source":["test = dfi(test)\n","test.preview()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>total</th>\n","      <th>na</th>\n","      <th>naPercent</th>\n","      <th>dtype</th>\n","      <th>max</th>\n","      <th>75%</th>\n","      <th>median</th>\n","      <th>25%</th>\n","      <th>min</th>\n","      <th>mean</th>\n","      <th>mode</th>\n","      <th>variation</th>\n","      <th>std</th>\n","      <th>skew</th>\n","      <th>kurt</th>\n","      <th>sampleVals</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>id</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>14996</td>\n","      <td>11246.2500</td>\n","      <td>7382.000</td>\n","      <td>3744.000</td>\n","      <td>10</td>\n","      <td>7465.939333</td>\n","      <td>13438</td>\n","      <td>0.999667</td>\n","      <td>4336.888431</td>\n","      <td>0.019289</td>\n","      <td>-1.203971</td>\n","      <td>6753 || 9015</td>\n","    </tr>\n","    <tr>\n","      <th>last_evaluation</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>float64</td>\n","      <td>1</td>\n","      <td>0.8700</td>\n","      <td>0.720</td>\n","      <td>0.560</td>\n","      <td>0.35</td>\n","      <td>0.717717</td>\n","      <td>0.5</td>\n","      <td>0.973000</td>\n","      <td>0.172901</td>\n","      <td>-0.043927</td>\n","      <td>-1.260734</td>\n","      <td>0.91 || 0.45</td>\n","    </tr>\n","    <tr>\n","      <th>number_project</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>7</td>\n","      <td>5.0000</td>\n","      <td>4.000</td>\n","      <td>3.000</td>\n","      <td>2</td>\n","      <td>3.832000</td>\n","      <td>4</td>\n","      <td>0.704000</td>\n","      <td>1.242963</td>\n","      <td>0.320652</td>\n","      <td>-0.512083</td>\n","      <td>5 || 4</td>\n","    </tr>\n","    <tr>\n","      <th>average_monthly_hours</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>float64</td>\n","      <td>311.94</td>\n","      <td>245.4675</td>\n","      <td>200.875</td>\n","      <td>156.815</td>\n","      <td>96.93</td>\n","      <td>201.458893</td>\n","      <td>192.85</td>\n","      <td>0.998667</td>\n","      <td>50.224990</td>\n","      <td>0.039802</td>\n","      <td>-1.125264</td>\n","      <td>139.7 || 137.89</td>\n","    </tr>\n","    <tr>\n","      <th>time_spend_company</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>10</td>\n","      <td>4.0000</td>\n","      <td>3.000</td>\n","      <td>3.000</td>\n","      <td>2</td>\n","      <td>3.487667</td>\n","      <td>3</td>\n","      <td>0.578000</td>\n","      <td>1.444256</td>\n","      <td>1.791334</td>\n","      <td>4.493163</td>\n","      <td>3 || 3</td>\n","    </tr>\n","    <tr>\n","      <th>Work_accident</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>1</td>\n","      <td>0.0000</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","      <td>0</td>\n","      <td>0.142333</td>\n","      <td>0</td>\n","      <td>0.142333</td>\n","      <td>0.349450</td>\n","      <td>2.048392</td>\n","      <td>2.197375</td>\n","      <td>0 || 0</td>\n","    </tr>\n","    <tr>\n","      <th>package</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>c</td>\n","      <td>0.733000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>b || a</td>\n","    </tr>\n","    <tr>\n","      <th>promotion_last_5years</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>int64</td>\n","      <td>1</td>\n","      <td>0.0000</td>\n","      <td>0.000</td>\n","      <td>0.000</td>\n","      <td>0</td>\n","      <td>0.024000</td>\n","      <td>0</td>\n","      <td>0.024000</td>\n","      <td>0.153075</td>\n","      <td>6.223342</td>\n","      <td>36.754485</td>\n","      <td>0 || 0</td>\n","    </tr>\n","    <tr>\n","      <th>division</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>sales</td>\n","      <td>0.721000</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>technical || technical</td>\n","    </tr>\n","    <tr>\n","      <th>salary</th>\n","      <td>3000</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>object</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>low</td>\n","      <td>0.523333</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>low || medium</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                      total na  ...       kurt              sampleVals\n","id                     3000  0  ...  -1.203971            6753 || 9015\n","last_evaluation        3000  0  ...  -1.260734            0.91 || 0.45\n","number_project         3000  0  ...  -0.512083                  5 || 4\n","average_monthly_hours  3000  0  ...  -1.125264         139.7 || 137.89\n","time_spend_company     3000  0  ...   4.493163                  3 || 3\n","Work_accident          3000  0  ...   2.197375                  0 || 0\n","package                3000  0  ...        NaN                  b || a\n","promotion_last_5years  3000  0  ...  36.754485                  0 || 0\n","division               3000  0  ...        NaN  technical || technical\n","salary                 3000  0  ...        NaN           low || medium\n","\n","[10 rows x 16 columns]"]},"metadata":{"tags":[]},"execution_count":60}]},{"cell_type":"markdown","metadata":{"id":"go9CQ07tBd5q","colab_type":"text"},"source":["### 查看各个分类特征列的取值频率"]},{"cell_type":"code","metadata":{"id":"XZ6dpcKIBd50","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":967},"executionInfo":{"status":"ok","timestamp":1595209211640,"user_tz":-480,"elapsed":6301,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"9bd1e5cd-3dbf-4b96-d71b-a542712eda2f"},"source":["def valuecount_plot(df):\n","    sns.set()\n","    cols = ['number_project','time_spend_company', 'Work_accident', 'package', 'promotion_last_5years']\n","    plt.figure(figsize=(16,8))\n","    pointer = 0\n","    for i in cols:\n","        plt.subplot(231+pointer)\n","        plt.bar(x= df[i].value_counts().index, height= df[i].value_counts().values)\n","        plt.title(i)\n","        print()\n","        pointer += 1\n","        \n","    plt.figure(figsize=(14,6))\n","    plt.bar(x= df['division'].value_counts().index, height= df['division'].value_counts().values)\n","    plt.title('division')\n","        \n","valuecount_plot(train)"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n","\n","\n","\n","\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1152x576 with 5 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\n","text/plain":["<Figure size 1008x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"zHfmOB1iBd6e","colab_type":"text"},"source":["## 查看各列之间的相关性"]},{"cell_type":"markdown","metadata":{"id":"5OwCUpaGljuE","colab_type":"text"},"source":["### 线性相关"]},{"cell_type":"code","metadata":{"id":"B7H3Z90OVc2T","colab_type":"code","colab":{}},"source":["corr = {'train_corr': train.corr(), 'test_corr': test.corr()}"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"V5EatD3qVczC","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":739},"executionInfo":{"status":"ok","timestamp":1595209212379,"user_tz":-480,"elapsed":6943,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"a39dde70-5c15-4896-8204-adc6768927d3"},"source":["sns.set()\n","plt.figure(figsize=(14,10))\n","sns.heatmap(corr['train_corr'], annot=True)\n","print()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1008x720 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"_Pv3e5dSVcwF","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":739},"executionInfo":{"status":"ok","timestamp":1595209213151,"user_tz":-480,"elapsed":7622,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"3015e99f-36dd-4e9d-ea8d-44cf9f86ff69"},"source":["sns.set()\n","plt.figure(figsize=(14,10))\n","sns.heatmap(corr['test_corr'], annot=True)\n","print()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1008x720 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"jr-citnblpbb","colab_type":"text"},"source":["### 非线性相关"]},{"cell_type":"code","metadata":{"id":"GkTd-rpwltF1","colab_type":"code","colab":{}},"source":["corr = {'train_corr': train.corr('spearman'), 'test_corr': test.corr('spearman')}"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"imYFJKnCltwn","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":739},"executionInfo":{"status":"ok","timestamp":1595209214150,"user_tz":-480,"elapsed":8549,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"5223b4d9-bb51-4e19-8d41-8bb6020661af"},"source":["sns.set()\n","plt.figure(figsize=(14,10))\n","sns.heatmap(corr['train_corr'], annot=True)\n","print()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1008x720 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"2iwAmu9IltrH","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":739},"executionInfo":{"status":"ok","timestamp":1595209215283,"user_tz":-480,"elapsed":9594,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"342ee06f-7aba-4c71-a9b5-fcb68490791a"},"source":["sns.set()\n","plt.figure(figsize=(14,10))\n","sns.heatmap(corr['test_corr'], annot=True)\n","print()"],"execution_count":null,"outputs":[{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1008x720 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"CZkJyaMps065","colab_type":"text"},"source":["## 重复值、缺失值、异常值"]},{"cell_type":"markdown","metadata":{"id":"ExBnnF18Vcst","colab_type":"text"},"source":["### 重复值"]},{"cell_type":"code","metadata":{"id":"tWEHSlXRVcpr","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":53},"executionInfo":{"status":"ok","timestamp":1595209215285,"user_tz":-480,"elapsed":9539,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"4ac34e7a-600e-4c6f-f154-52b4223bfddd"},"source":["print(f\"training set duplicated rows amount : {sum(train.duplicated())}\")\n","print(f\"testing set duplicated rows amount : {sum(test.duplicated())}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["training set duplicated rows amount : 0\n","testing set duplicated rows amount : 0\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"MzPBxDqCBd6n","colab_type":"text"},"source":["### 缺失值"]},{"cell_type":"code","metadata":{"id":"Cp1Wg0aHBd6p","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":743},"executionInfo":{"status":"ok","timestamp":1595209215289,"user_tz":-480,"elapsed":9503,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"63211f65-f06e-4b4e-bca5-66c8aa57381a"},"source":["# train数据集没有缺失值\n","msno.matrix(train)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1800x720 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"b3_YB11SBd6x","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":744},"executionInfo":{"status":"ok","timestamp":1595209216034,"user_tz":-480,"elapsed":10216,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"f474d471-2891-48a5-c702-a156afb5319e"},"source":["# test数据集没有缺失值\n","msno.matrix(test)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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size 1800x720 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"u_tvOPRwBd66","colab_type":"text"},"source":["可以看到无论是train，还是test数据集，都没有缺失值。"]},{"cell_type":"markdown","metadata":{"id":"Bw-hW7qItBV3","colab_type":"text"},"source":["### 异常值"]},{"cell_type":"code","metadata":{"id":"FiaE71hDtKS1","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":390},"executionInfo":{"status":"ok","timestamp":1595209216036,"user_tz":-480,"elapsed":10185,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"a92f6ab4-1f89-4be1-db1b-b1aaa67c027b"},"source":["train.abnormal()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>na</th>\n","      <th>nullStrings</th>\n","      <th>valueTypes</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>id</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>last_evaluation</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'float'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>number_project</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>average_monthly_hours</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'float'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>time_spend_company</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>Work_accident</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>package</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'str'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>promotion_last_5years</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>division</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'str'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>salary</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'str'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>satisfaction_level</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'float'&gt;}</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                      na nullStrings         valueTypes\n","id                     0           0    {<class 'int'>}\n","last_evaluation        0           0  {<class 'float'>}\n","number_project         0           0    {<class 'int'>}\n","average_monthly_hours  0           0  {<class 'float'>}\n","time_spend_company     0           0    {<class 'int'>}\n","Work_accident          0           0    {<class 'int'>}\n","package                0           0    {<class 'str'>}\n","promotion_last_5years  0           0    {<class 'int'>}\n","division               0           0    {<class 'str'>}\n","salary                 0           0    {<class 'str'>}\n","satisfaction_level     0           0  {<class 'float'>}"]},"metadata":{"tags":[]},"execution_count":71}]},{"cell_type":"code","metadata":{"id":"XzMAo7dltJ5c","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":359},"executionInfo":{"status":"ok","timestamp":1595209216038,"user_tz":-480,"elapsed":10140,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"05ada670-455b-4ee4-e9c2-e0730f2693bb"},"source":["test.abnormal()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>na</th>\n","      <th>nullStrings</th>\n","      <th>valueTypes</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>id</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>last_evaluation</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'float'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>number_project</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>average_monthly_hours</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'float'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>time_spend_company</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>Work_accident</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>package</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'str'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>promotion_last_5years</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'int'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>division</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'str'&gt;}</td>\n","    </tr>\n","    <tr>\n","      <th>salary</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>{&lt;class 'str'&gt;}</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                      na nullStrings         valueTypes\n","id                     0           0    {<class 'int'>}\n","last_evaluation        0           0  {<class 'float'>}\n","number_project         0           0    {<class 'int'>}\n","average_monthly_hours  0           0  {<class 'float'>}\n","time_spend_company     0           0    {<class 'int'>}\n","Work_accident          0           0    {<class 'int'>}\n","package                0           0    {<class 'str'>}\n","promotion_last_5years  0           0    {<class 'int'>}\n","division               0           0    {<class 'str'>}\n","salary                 0           0    {<class 'str'>}"]},"metadata":{"tags":[]},"execution_count":72}]},{"cell_type":"markdown","metadata":{"id":"2sCV-OJF7ktO","colab_type":"text"},"source":["各列都无异常值"]},{"cell_type":"markdown","metadata":{"id":"9mmt_42gBd68","colab_type":"text"},"source":["## 查看数据分布"]},{"cell_type":"code","metadata":{"id":"th1HDs5yVcmE","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":89},"executionInfo":{"status":"ok","timestamp":1595209216041,"user_tz":-480,"elapsed":10083,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"afc2f31d-2d6f-441c-a78d-2ddf543b80b4"},"source":["train.columns"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['id', 'last_evaluation', 'number_project', 'average_monthly_hours',\n","       'time_spend_company', 'Work_accident', 'package',\n","       'promotion_last_5years', 'division', 'salary', 'satisfaction_level'],\n","      dtype='object')"]},"metadata":{"tags":[]},"execution_count":73}]},{"cell_type":"code","metadata":{"id":"fwmPQc7Ph1Bq","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1595209220367,"user_tz":-480,"elapsed":14376,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"31148368-ba29-44ca-c126-a1104caaae6f"},"source":["l = len(train.columns)\n","plt.figure(figsize=(16,6*l))\n","for i in range(l):\n","    plt.subplot(l,1,i+1)\n","    if train.iloc[:,i].dtype != 'object' and train.iloc[:,i].name not in ['Work_accident','promotion_last_5years']:\n","        sns.distplot(train.iloc[:,i])\n","    else:\n","        sns.barplot(x = train.iloc[:,i].value_counts().index,y=train.iloc[:,i].value_counts())"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1152x4752 with 11 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"92dVRik4flZ7","colab_type":"text"},"source":["## 数据分布探索总结\n"]},{"cell_type":"markdown","metadata":{"id":"UGLNTQWjBd6m","colab_type":"text"},"source":["- 特征分类\n","  - id列为无意义列，可以删除\n","  - 上次评分、平均月工时、满意度 为连续型数据\n","  - 工龄、项目数量为离散型数据\n","  - 工伤、五年内有升职 为0-1二值型数据，\n","  - 部门为文本型数据，考虑进行独热编码\n","  - 福利等级、工资水平为定序数据，需要进行顺序编码\n","- 量纲\n","  - 工龄单位是年，样本取值在2-10之间\n","  - 项目数量是个，整型数据，样本取值在2-7之间\n","  - 平均月工时是小时，浮点型，样本取值为95.1 - 313.11\n","  - 上次评分是分数，样本取值为0-1之间\n","- 特征相关性\n","  - 训练集、测试集各自列与列之间没有明显线性或非线性相关性\n","- 缺失值、异常值、重复值\n","  - 无\n","- 数据分布\n"," - 过去5年基本上没有人升过职，升职人数占train数据集总人数仅2%，考虑对升职记录进行过采样\n"," - 工伤比例大概在15%\n"," \n"]},{"cell_type":"markdown","metadata":{"id":"hrr4IhACBd69","colab_type":"text"},"source":["# 数据预处理"]},{"cell_type":"code","metadata":{"id":"LpeW_RnpBd6_","colab_type":"code","colab":{}},"source":["# id列没有用处，直接删除\n","train = train.drop('id', axis=1)\n","test = test.drop('id', axis=1)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"tHOzASSsTU2S","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":419},"executionInfo":{"status":"ok","timestamp":1595209220375,"user_tz":-480,"elapsed":14328,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"9d87a509-de16-4455-93c6-388b7d87cd66"},"source":["train"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>last_evaluation</th>\n","      <th>number_project</th>\n","      <th>average_monthly_hours</th>\n","      <th>time_spend_company</th>\n","      <th>Work_accident</th>\n","      <th>package</th>\n","      <th>promotion_last_5years</th>\n","      <th>division</th>\n","      <th>salary</th>\n","      <th>satisfaction_level</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.99</td>\n","      <td>3</td>\n","      <td>161.39</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>a</td>\n","      <td>0</td>\n","      <td>accounting</td>\n","      <td>medium</td>\n","      <td>0.681</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1.00</td>\n","      <td>5</td>\n","      <td>226.22</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>b</td>\n","      <td>0</td>\n","      <td>marketing</td>\n","      <td>low</td>\n","      <td>0.876</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.91</td>\n","      <td>5</td>\n","      <td>199.45</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>e</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>medium</td>\n","      <td>0.955</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.51</td>\n","      <td>3</td>\n","      <td>235.14</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>c</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>low</td>\n","      <td>0.817</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.89</td>\n","      <td>3</td>\n","      <td>219.91</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>a</td>\n","      <td>0</td>\n","      <td>technical</td>\n","      <td>low</td>\n","      <td>0.920</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>11994</th>\n","      <td>0.89</td>\n","      <td>4</td>\n","      <td>150.45</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>e</td>\n","      <td>0</td>\n","      <td>accounting</td>\n","      <td>high</td>\n","      <td>0.849</td>\n","    </tr>\n","    <tr>\n","      <th>11995</th>\n","      <td>0.81</td>\n","      <td>5</td>\n","      <td>221.28</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>b</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>low</td>\n","      <td>0.836</td>\n","    </tr>\n","    <tr>\n","      <th>11996</th>\n","      <td>0.60</td>\n","      <td>4</td>\n","      <td>136.36</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>c</td>\n","      <td>0</td>\n","      <td>sales</td>\n","      <td>medium</td>\n","      <td>0.915</td>\n","    </tr>\n","    <tr>\n","      <th>11997</th>\n","      <td>0.84</td>\n","      <td>6</td>\n","      <td>268.54</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>b</td>\n","      <td>0</td>\n","      <td>IT</td>\n","      <td>low</td>\n","      <td>0.099</td>\n","    </tr>\n","    <tr>\n","      <th>11998</th>\n","      <td>0.84</td>\n","      <td>2</td>\n","      <td>191.60</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>c</td>\n","      <td>0</td>\n","      <td>support</td>\n","      <td>low</td>\n","      <td>0.738</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>11999 rows × 10 columns</p>\n","</div>"],"text/plain":["       last_evaluation  number_project  ...  salary  satisfaction_level\n","0                 0.99               3  ...  medium               0.681\n","1                 1.00               5  ...     low               0.876\n","2                 0.91               5  ...  medium               0.955\n","3                 0.51               3  ...     low               0.817\n","4                 0.89               3  ...     low               0.920\n","...                ...             ...  ...     ...                 ...\n","11994             0.89               4  ...    high               0.849\n","11995             0.81               5  ...     low               0.836\n","11996             0.60               4  ...  medium               0.915\n","11997             0.84               6  ...     low               0.099\n","11998             0.84               2  ...     low               0.738\n","\n","[11999 rows x 10 columns]"]},"metadata":{"tags":[]},"execution_count":76}]},{"cell_type":"markdown","metadata":{"id":"TlVYA8hkBd78","colab_type":"text"},"source":["# EDA"]},{"cell_type":"markdown","metadata":{"id":"ZqFuuthfT8i6","colab_type":"text"},"source":["## 各列相关性探索分析"]},{"cell_type":"code","metadata":{"id":"YyO0cyT-Bd8K","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":142},"executionInfo":{"status":"ok","timestamp":1595209220378,"user_tz":-480,"elapsed":14291,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"c9290f24-bb20-4ade-a8a1-3e265155cc98"},"source":["train.groupby('promotion_last_5years')['satisfaction_level'].describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","      <th>mean</th>\n","      <th>std</th>\n","      <th>min</th>\n","      <th>25%</th>\n","      <th>50%</th>\n","      <th>75%</th>\n","      <th>max</th>\n","    </tr>\n","    <tr>\n","      <th>promotion_last_5years</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>11752.0</td>\n","      <td>0.612923</td>\n","      <td>0.249725</td>\n","      <td>0.076</td>\n","      <td>0.437</td>\n","      <td>0.645</td>\n","      <td>0.8170</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>247.0</td>\n","      <td>0.658081</td>\n","      <td>0.209522</td>\n","      <td>0.110</td>\n","      <td>0.527</td>\n","      <td>0.688</td>\n","      <td>0.8145</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                         count      mean       std  ...    50%     75%  max\n","promotion_last_5years                               ...                    \n","0                      11752.0  0.612923  0.249725  ...  0.645  0.8170  1.0\n","1                        247.0  0.658081  0.209522  ...  0.688  0.8145  1.0\n","\n","[2 rows x 8 columns]"]},"metadata":{"tags":[]},"execution_count":77}]},{"cell_type":"code","metadata":{"id":"MuyVnEpoBd8p","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":142},"executionInfo":{"status":"ok","timestamp":1595209220380,"user_tz":-480,"elapsed":14220,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"d2651277-3324-42f8-ccf6-3ccd5f532d2b"},"source":["train.groupby('Work_accident')['satisfaction_level'].describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","      <th>mean</th>\n","      <th>std</th>\n","      <th>min</th>\n","      <th>25%</th>\n","      <th>50%</th>\n","      <th>75%</th>\n","      <th>max</th>\n","    </tr>\n","    <tr>\n","      <th>Work_accident</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>10257.0</td>\n","      <td>0.607733</td>\n","      <td>0.251446</td>\n","      <td>0.076</td>\n","      <td>0.43100</td>\n","      <td>0.639</td>\n","      <td>0.814</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1742.0</td>\n","      <td>0.649887</td>\n","      <td>0.231159</td>\n","      <td>0.085</td>\n","      <td>0.51525</td>\n","      <td>0.674</td>\n","      <td>0.832</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 count      mean       std    min      25%    50%    75%  max\n","Work_accident                                                                \n","0              10257.0  0.607733  0.251446  0.076  0.43100  0.639  0.814  1.0\n","1               1742.0  0.649887  0.231159  0.085  0.51525  0.674  0.832  1.0"]},"metadata":{"tags":[]},"execution_count":78}]},{"cell_type":"code","metadata":{"id":"_DrNJCiMdK9t","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":328},"executionInfo":{"status":"ok","timestamp":1595209220383,"user_tz":-480,"elapsed":14150,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"9ad63c64-92ae-4186-d501-218cef4531db"},"source":["train.groupby('time_spend_company')['satisfaction_level'].describe()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","      <th>mean</th>\n","      <th>std</th>\n","      <th>min</th>\n","      <th>25%</th>\n","      <th>50%</th>\n","      <th>75%</th>\n","      <th>max</th>\n","    </tr>\n","    <tr>\n","      <th>time_spend_company</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2</th>\n","      <td>2579.0</td>\n","      <td>0.695919</td>\n","      <td>0.184761</td>\n","      <td>0.086</td>\n","      <td>0.56550</td>\n","      <td>0.703</td>\n","      <td>0.845</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>5177.0</td>\n","      <td>0.629892</td>\n","      <td>0.208063</td>\n","      <td>0.113</td>\n","      <td>0.44000</td>\n","      <td>0.626</td>\n","      <td>0.805</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2033.0</td>\n","      <td>0.469199</td>\n","      <td>0.318590</td>\n","      <td>0.076</td>\n","      <td>0.11000</td>\n","      <td>0.513</td>\n","      <td>0.750</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>1182.0</td>\n","      <td>0.605276</td>\n","      <td>0.287202</td>\n","      <td>0.081</td>\n","      <td>0.30875</td>\n","      <td>0.741</td>\n","      <td>0.837</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>580.0</td>\n","      <td>0.603957</td>\n","      <td>0.272936</td>\n","      <td>0.112</td>\n","      <td>0.33725</td>\n","      <td>0.692</td>\n","      <td>0.822</td>\n","      <td>0.990</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>142.0</td>\n","      <td>0.615380</td>\n","      <td>0.248317</td>\n","      <td>0.145</td>\n","      <td>0.48225</td>\n","      <td>0.643</td>\n","      <td>0.828</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>129.0</td>\n","      <td>0.662922</td>\n","      <td>0.216040</td>\n","      <td>0.149</td>\n","      <td>0.54300</td>\n","      <td>0.685</td>\n","      <td>0.834</td>\n","      <td>0.994</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>177.0</td>\n","      <td>0.663153</td>\n","      <td>0.219132</td>\n","      <td>0.130</td>\n","      <td>0.53500</td>\n","      <td>0.652</td>\n","      <td>0.848</td>\n","      <td>0.997</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                     count      mean       std  ...    50%    75%    max\n","time_spend_company                              ...                     \n","2                   2579.0  0.695919  0.184761  ...  0.703  0.845  1.000\n","3                   5177.0  0.629892  0.208063  ...  0.626  0.805  1.000\n","4                   2033.0  0.469199  0.318590  ...  0.513  0.750  1.000\n","5                   1182.0  0.605276  0.287202  ...  0.741  0.837  1.000\n","6                    580.0  0.603957  0.272936  ...  0.692  0.822  0.990\n","7                    142.0  0.615380  0.248317  ...  0.643  0.828  1.000\n","8                    129.0  0.662922  0.216040  ...  0.685  0.834  0.994\n","10                   177.0  0.663153  0.219132  ...  0.652  0.848  0.997\n","\n","[8 rows x 8 columns]"]},"metadata":{"tags":[]},"execution_count":79}]},{"cell_type":"code","metadata":{"id":"0U8-LxjTBd8y","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":502},"executionInfo":{"status":"ok","timestamp":1595209220385,"user_tz":-480,"elapsed":14119,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"72d77797-4a23-4289-b092-339c0b256662"},"source":["sns.set()\n","plt.figure(figsize=(12,8))\n","plt.subplot(211)\n","train.groupby('time_spend_company')['satisfaction_level'].describe()['count'].plot(kind='bar')\n","plt.subplot(212)\n","train.groupby('time_spend_company')['satisfaction_level'].describe()['mean'].plot(kind='line',marker='.')\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 864x576 with 2 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"sIEIbirNBd9B","colab_type":"text"},"source":["# 特征工程"]},{"cell_type":"markdown","metadata":{"id":"93EWGTGlBd9I","colab_type":"text"},"source":["## 思路\n","- division为文本型数据，考虑进行独热编码 one-hot encoder\n","- package、salary为定序数据，需要进行顺序编码 ordinal encoder\n","- Work_accident、promotion_last_5years：\n"," - 考虑对频数较低的组进行过采样（需谨慎，在此数据集上建议采用简单随机过采样）\n","    - 大多数过采样方法会使变量的方差表面上比实际上更小，欠采样会让独立变量的方差看起来比其实际的方差更高。另外，因为通过过采样增加少数类样本的数据量很难增加数据所包含的信息，容易造成模型过拟合。\n","    - 应用在此数据集中，容易对categorical型数据进行改动，使其失去categorical特征（如使用SMOTE或者其他基于KNN算法的过采样算法时，其会对K个近邻样本参考，并计算生成新的采样样本，这是categorical特征可能会出现小数，变成连续型特征。），不建议采用。 \n"," - 或者将promotion_last_5years为1的删除\n"," - 或者使用随机森林查看一下重要程度\n","\n"]},{"cell_type":"markdown","metadata":{"id":"UaJjirnNBd7n","colab_type":"text"},"source":["## 划分训练集和测试集"]},{"cell_type":"markdown","metadata":{"id":"ruKQWZ4EbLVe","colab_type":"text"},"source":["### 划分自变量和因变量"]},{"cell_type":"code","metadata":{"id":"AFuPO83MBd7p","colab_type":"code","colab":{}},"source":["x = train.iloc[:,:-1]\n","y = train.iloc[:, -1]"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"KpW633cOBd9O","colab_type":"text"},"source":["### 划分训练、测试集"]},{"cell_type":"code","metadata":{"id":"7alFvtJL00p3","colab_type":"code","colab":{}},"source":["x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"KSRMCywA1eFN","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"executionInfo":{"status":"ok","timestamp":1595209220393,"user_tz":-480,"elapsed":14065,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"83c83469-02c9-4197-fbe0-94a7f45df438"},"source":["x_train['promotion_last_5years'].value_counts()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0    8223\n","1     176\n","Name: promotion_last_5years, dtype: int64"]},"metadata":{"tags":[]},"execution_count":83}]},{"cell_type":"markdown","metadata":{"id":"-htwrlHRBd9V","colab_type":"text"},"source":["## Encoding transform"]},{"cell_type":"code","metadata":{"id":"6x3x1HQ91sL2","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":439},"executionInfo":{"status":"ok","timestamp":1595209220395,"user_tz":-480,"elapsed":14040,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"8bb4fa5e-8df9-422b-9c45-df88f7069bc1"},"source":["from sklearn.preprocessing import OneHotEncoder, OrdinalEncoder\n","\n","oe = OrdinalEncoder()\n","x_train[['package', 'salary']] = oe.fit_transform(x_train[['package', 'salary']])\n","oh = OneHotEncoder()\n","result = oh.fit_transform(x_train['division'].values.reshape(-1,1))\n","\n","result = pd.DataFrame(result.toarray(), columns=x_train['division'].unique(), index=x_train.index)\n","x_train_new = pd.concat([x_train, result], axis=1)\n","x_train_new.drop(columns='division',inplace=True)\n","x_train_new\n"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>last_evaluation</th>\n","      <th>number_project</th>\n","      <th>average_monthly_hours</th>\n","      <th>time_spend_company</th>\n","      <th>Work_accident</th>\n","      <th>package</th>\n","      <th>promotion_last_5years</th>\n","      <th>salary</th>\n","      <th>sales</th>\n","      <th>hr</th>\n","      <th>RandD</th>\n","      <th>support</th>\n","      <th>management</th>\n","      <th>product_mng</th>\n","      <th>IT</th>\n","      <th>technical</th>\n","      <th>accounting</th>\n","      <th>marketing</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3437</th>\n","      <td>0.56</td>\n","      <td>3</td>\n","      <td>190.18</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8791</th>\n","      <td>0.59</td>\n","      <td>3</td>\n","      <td>273.49</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>6664</th>\n","      <td>0.94</td>\n","      <td>3</td>\n","      <td>178.77</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>10174</th>\n","      <td>0.55</td>\n","      <td>5</td>\n","      <td>257.84</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8904</th>\n","      <td>0.45</td>\n","      <td>2</td>\n","      <td>146.77</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>11609</th>\n","      <td>0.69</td>\n","      <td>2</td>\n","      <td>166.13</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>11672</th>\n","      <td>0.76</td>\n","      <td>4</td>\n","      <td>247.42</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8687</th>\n","      <td>0.92</td>\n","      <td>3</td>\n","      <td>138.57</td>\n","      <td>10</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>7941</th>\n","      <td>0.48</td>\n","      <td>2</td>\n","      <td>128.35</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>1139</th>\n","      <td>0.90</td>\n","      <td>5</td>\n","      <td>253.70</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>8399 rows × 18 columns</p>\n","</div>"],"text/plain":["       last_evaluation  number_project  ...  accounting  marketing\n","3437              0.56               3  ...         0.0        0.0\n","8791              0.59               3  ...         0.0        0.0\n","6664              0.94               3  ...         0.0        0.0\n","10174             0.55               5  ...         0.0        0.0\n","8904              0.45               2  ...         0.0        0.0\n","...                ...             ...  ...         ...        ...\n","11609             0.69               2  ...         0.0        0.0\n","11672             0.76               4  ...         0.0        0.0\n","8687              0.92               3  ...         1.0        0.0\n","7941              0.48               2  ...         1.0        0.0\n","1139              0.90               5  ...         0.0        0.0\n","\n","[8399 rows x 18 columns]"]},"metadata":{"tags":[]},"execution_count":84}]},{"cell_type":"code","metadata":{"id":"vxam4l_rBd9d","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":439},"executionInfo":{"status":"ok","timestamp":1595209220397,"user_tz":-480,"elapsed":14019,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"5569a759-7158-4112-a6c1-6c844f2c5553"},"source":["x_test[['package', 'salary']] = oe.transform(x_test[['package', 'salary']])\n","result = oh.transform(x_test['division'].values.reshape(-1,1))\n","\n","result = pd.DataFrame(result.toarray(), columns=x_test['division'].unique(), index=x_test.index)\n","x_test_new = pd.concat([x_test, result], axis=1)\n","x_test_new.drop(columns='division',inplace=True)\n","x_test_new"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>last_evaluation</th>\n","      <th>number_project</th>\n","      <th>average_monthly_hours</th>\n","      <th>time_spend_company</th>\n","      <th>Work_accident</th>\n","      <th>package</th>\n","      <th>promotion_last_5years</th>\n","      <th>salary</th>\n","      <th>technical</th>\n","      <th>hr</th>\n","      <th>marketing</th>\n","      <th>sales</th>\n","      <th>support</th>\n","      <th>product_mng</th>\n","      <th>IT</th>\n","      <th>RandD</th>\n","      <th>accounting</th>\n","      <th>management</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>10434</th>\n","      <td>0.73</td>\n","      <td>4</td>\n","      <td>196.55</td>\n","      <td>5</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1769</th>\n","      <td>0.61</td>\n","      <td>4</td>\n","      <td>240.22</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>7983</th>\n","      <td>0.99</td>\n","      <td>5</td>\n","      <td>144.89</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>6872</th>\n","      <td>0.55</td>\n","      <td>3</td>\n","      <td>247.06</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>9461</th>\n","      <td>0.98</td>\n","      <td>4</td>\n","      <td>248.10</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>3201</th>\n","      <td>0.68</td>\n","      <td>5</td>\n","      <td>156.47</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>7544</th>\n","      <td>0.82</td>\n","      <td>4</td>\n","      <td>218.35</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8380</th>\n","      <td>0.96</td>\n","      <td>6</td>\n","      <td>282.58</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8981</th>\n","      <td>0.91</td>\n","      <td>6</td>\n","      <td>301.55</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1161</th>\n","      <td>0.73</td>\n","      <td>2</td>\n","      <td>230.58</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3600 rows × 18 columns</p>\n","</div>"],"text/plain":["       last_evaluation  number_project  ...  accounting  management\n","10434             0.73               4  ...         0.0         1.0\n","1769              0.61               4  ...         0.0         0.0\n","7983              0.99               5  ...         0.0         0.0\n","6872              0.55               3  ...         0.0         0.0\n","9461              0.98               4  ...         0.0         0.0\n","...                ...             ...  ...         ...         ...\n","3201              0.68               5  ...         0.0         0.0\n","7544              0.82               4  ...         0.0         0.0\n","8380              0.96               6  ...         0.0         0.0\n","8981              0.91               6  ...         0.0         1.0\n","1161              0.73               2  ...         0.0         1.0\n","\n","[3600 rows x 18 columns]"]},"metadata":{"tags":[]},"execution_count":85}]},{"cell_type":"markdown","metadata":{"id":"1U-1yKct6hrC","colab_type":"text"},"source":["### 使训练集和测试集的列对齐"]},{"cell_type":"code","metadata":{"id":"_e8QvoHGuJb6","colab_type":"code","colab":{}},"source":["columns = ['last_evaluation', 'number_project', 'average_monthly_hours',\n","       'time_spend_company', 'Work_accident', 'package',\n","       'promotion_last_5years', 'salary', 'sales', 'hr', 'RandD', 'support',\n","       'management', 'product_mng', 'IT', 'technical', 'accounting',\n","       'marketing']"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"q2BuCaNy6pbS","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":125},"executionInfo":{"status":"ok","timestamp":1595239568188,"user_tz":-480,"elapsed":896,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"6993f78f-ec5a-413a-92cd-08c583455b93"},"source":["x_train_new.columns"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['last_evaluation', 'number_project', 'average_monthly_hours',\n","       'time_spend_company', 'Work_accident', 'package',\n","       'promotion_last_5years', 'salary', 'sales', 'hr', 'RandD', 'support',\n","       'management', 'product_mng', 'IT', 'technical', 'accounting',\n","       'marketing'],\n","      dtype='object')"]},"metadata":{"tags":[]},"execution_count":179}]},{"cell_type":"code","metadata":{"id":"Vbgu2k4S6pn4","colab_type":"code","colab":{}},"source":["x_test_new = x_test_new[columns]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"qSUKcKh16plv","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":125},"executionInfo":{"status":"ok","timestamp":1595240159520,"user_tz":-480,"elapsed":827,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"68a6d98c-9423-48ae-e755-248ef2519b54"},"source":["x_test_new.columns"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['last_evaluation', 'number_project', 'average_monthly_hours',\n","       'time_spend_company', 'Work_accident', 'package',\n","       'promotion_last_5years', 'salary', 'sales', 'hr', 'RandD', 'support',\n","       'management', 'product_mng', 'IT', 'technical', 'accounting',\n","       'marketing'],\n","      dtype='object')"]},"metadata":{"tags":[]},"execution_count":200}]},{"cell_type":"code","metadata":{"id":"GI8MYDUv6Oki","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":53},"executionInfo":{"status":"ok","timestamp":1595240166865,"user_tz":-480,"elapsed":816,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"46c90917-af32-402b-eac8-bb072b5db43b"},"source":["x_train_new.columns == x_test_new.columns"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ True,  True,  True,  True,  True,  True,  True,  True,  True,\n","        True,  True,  True,  True,  True,  True,  True,  True,  True])"]},"metadata":{"tags":[]},"execution_count":201}]},{"cell_type":"markdown","metadata":{"id":"bYPouNvtrbji","colab_type":"text"},"source":["## 将比赛测试数据集转码"]},{"cell_type":"code","metadata":{"id":"lhpcVvxjrRyk","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":439},"executionInfo":{"status":"ok","timestamp":1595240246443,"user_tz":-480,"elapsed":967,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"b6ce2812-20ad-46c6-cef2-7c595b56c3c5"},"source":["test[['package', 'salary']] = oe.transform(test[['package', 'salary']])\n","result = oh.transform(test['division'].values.reshape(-1,1))\n","\n","result = pd.DataFrame(result.toarray(), columns=test['division'].unique(), index=test.index)\n","test_new = pd.concat([test, result], axis=1)\n","test_new.drop(columns='division',inplace=True)\n","test_new"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>last_evaluation</th>\n","      <th>number_project</th>\n","      <th>average_monthly_hours</th>\n","      <th>time_spend_company</th>\n","      <th>Work_accident</th>\n","      <th>package</th>\n","      <th>promotion_last_5years</th>\n","      <th>salary</th>\n","      <th>technical</th>\n","      <th>marketing</th>\n","      <th>sales</th>\n","      <th>support</th>\n","      <th>IT</th>\n","      <th>hr</th>\n","      <th>product_mng</th>\n","      <th>RandD</th>\n","      <th>management</th>\n","      <th>accounting</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.78</td>\n","      <td>4</td>\n","      <td>260.71</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.96</td>\n","      <td>7</td>\n","      <td>275.38</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.57</td>\n","      <td>4</td>\n","      <td>207.29</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.89</td>\n","      <td>5</td>\n","      <td>150.70</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.93</td>\n","      <td>3</td>\n","      <td>141.23</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2995</th>\n","      <td>0.45</td>\n","      <td>3</td>\n","      <td>132.90</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2996</th>\n","      <td>0.73</td>\n","      <td>4</td>\n","      <td>245.77</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2997</th>\n","      <td>0.75</td>\n","      <td>4</td>\n","      <td>242.90</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2998</th>\n","      <td>0.70</td>\n","      <td>3</td>\n","      <td>235.52</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2999</th>\n","      <td>0.46</td>\n","      <td>2</td>\n","      <td>137.19</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>3000 rows × 18 columns</p>\n","</div>"],"text/plain":["      last_evaluation  number_project  ...  management  accounting\n","0                0.78               4  ...         0.0         1.0\n","1                0.96               7  ...         0.0         0.0\n","2                0.57               4  ...         0.0         0.0\n","3                0.89               5  ...         0.0         1.0\n","4                0.93               3  ...         1.0         0.0\n","...               ...             ...  ...         ...         ...\n","2995             0.45               3  ...         0.0         1.0\n","2996             0.73               4  ...         0.0         0.0\n","2997             0.75               4  ...         0.0         0.0\n","2998             0.70               3  ...         0.0         0.0\n","2999             0.46               2  ...         0.0         1.0\n","\n","[3000 rows x 18 columns]"]},"metadata":{"tags":[]},"execution_count":207}]},{"cell_type":"code","metadata":{"id":"IV5CLemXr31p","colab_type":"code","colab":{}},"source":["test_new = test_new[columns]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Bu3-CkEtrvW1","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":53},"executionInfo":{"status":"ok","timestamp":1595240259553,"user_tz":-480,"elapsed":824,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"ac262771-c742-410a-a1a3-eeaa6870897f"},"source":["x_train_new.columns == test_new.columns"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ True,  True,  True,  True,  True,  True,  True,  True,  True,\n","        True,  True,  True,  True,  True,  True,  True,  True,  True])"]},"metadata":{"tags":[]},"execution_count":209}]},{"cell_type":"markdown","metadata":{"id":"Eps4_9nt5jyY","colab_type":"text"},"source":["## over_resample"]},{"cell_type":"markdown","metadata":{"id":"iUOmLZvv31bo","colab_type":"text"},"source":["### 对promotion_last_5years值为1的样本进行随机过采样（插值）"]},{"cell_type":"code","metadata":{"id":"OAWrBgEAsIh5","colab_type":"code","colab":{}},"source":["x_train_new2 = x_train_new.copy()\n","x_train_new2['satisfaction_level'] = y_train\n","\n","ros = RandomOverSampler()\n","x_res, y_res = ros.fit_resample(x_train_new2.loc[:, x_train_new2.columns != 'promotion_last_5years'], \n","                 x_train_new2.loc[:, x_train_new2.columns == 'promotion_last_5years'])"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"aXt6ZR6oZexQ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":439},"executionInfo":{"status":"ok","timestamp":1595240448132,"user_tz":-480,"elapsed":884,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"72e20f22-acee-44af-f98a-5f7f3f41ded6"},"source":["x_res = pd.DataFrame(x_res, columns=['last_evaluation', 'number_project', 'average_monthly_hours',\n","       'time_spend_company', 'Work_accident', 'package', 'salary', 'sales', 'hr', 'RandD', 'support',\n","       'management', 'product_mng', 'IT', 'technical', 'accounting',\n","       'marketing', 'satisfaction_level'])\n","x_res['promotion_last_5years'] = y_res\n","x_res = x_res[['last_evaluation', 'number_project', 'average_monthly_hours',\n","       'time_spend_company', 'Work_accident', 'package',\n","       'promotion_last_5years', 'salary', 'sales', 'hr', 'RandD', 'support',\n","       'management', 'product_mng', 'IT', 'technical', 'accounting',\n","       'marketing', 'satisfaction_level']]\n","x_res"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>last_evaluation</th>\n","      <th>number_project</th>\n","      <th>average_monthly_hours</th>\n","      <th>time_spend_company</th>\n","      <th>Work_accident</th>\n","      <th>package</th>\n","      <th>promotion_last_5years</th>\n","      <th>salary</th>\n","      <th>sales</th>\n","      <th>hr</th>\n","      <th>RandD</th>\n","      <th>support</th>\n","      <th>management</th>\n","      <th>product_mng</th>\n","      <th>IT</th>\n","      <th>technical</th>\n","      <th>accounting</th>\n","      <th>marketing</th>\n","      <th>satisfaction_level</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.56</td>\n","      <td>3.0</td>\n","      <td>190.18</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.761</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.59</td>\n","      <td>3.0</td>\n","      <td>273.49</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>4.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.936</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.94</td>\n","      <td>3.0</td>\n","      <td>178.77</td>\n","      <td>4.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.151</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.55</td>\n","      <td>5.0</td>\n","      <td>257.84</td>\n","      <td>3.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.563</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.45</td>\n","      <td>2.0</td>\n","      <td>146.77</td>\n","      <td>3.0</td>\n","      <td>0.0</td>\n","      <td>3.0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.429</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>16441</th>\n","      <td>0.96</td>\n","      <td>4.0</td>\n","      <td>150.62</td>\n","      <td>3.0</td>\n","      <td>0.0</td>\n","      <td>4.0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.852</td>\n","    </tr>\n","    <tr>\n","      <th>16442</th>\n","      <td>0.62</td>\n","      <td>3.0</td>\n","      <td>232.91</td>\n","      <td>3.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.526</td>\n","    </tr>\n","    <tr>\n","      <th>16443</th>\n","      <td>0.70</td>\n","      <td>4.0</td>\n","      <td>246.72</td>\n","      <td>3.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.801</td>\n","    </tr>\n","    <tr>\n","      <th>16444</th>\n","      <td>0.51</td>\n","      <td>4.0</td>\n","      <td>140.16</td>\n","      <td>4.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.538</td>\n","    </tr>\n","    <tr>\n","      <th>16445</th>\n","      <td>0.78</td>\n","      <td>5.0</td>\n","      <td>258.47</td>\n","      <td>3.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.976</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>16446 rows × 19 columns</p>\n","</div>"],"text/plain":["       last_evaluation  number_project  ...  marketing  satisfaction_level\n","0                 0.56             3.0  ...        0.0               0.761\n","1                 0.59             3.0  ...        0.0               0.936\n","2                 0.94             3.0  ...        0.0               0.151\n","3                 0.55             5.0  ...        0.0               0.563\n","4                 0.45             2.0  ...        0.0               0.429\n","...                ...             ...  ...        ...                 ...\n","16441             0.96             4.0  ...        0.0               0.852\n","16442             0.62             3.0  ...        0.0               0.526\n","16443             0.70             4.0  ...        0.0               0.801\n","16444             0.51             4.0  ...        0.0               0.538\n","16445             0.78             5.0  ...        0.0               0.976\n","\n","[16446 rows x 19 columns]"]},"metadata":{"tags":[]},"execution_count":217}]},{"cell_type":"code","metadata":{"id":"-H92FUZOsIyK","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595209220930,"user_tz":-480,"elapsed":14350,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"0b2af3cf-ab8f-41c4-997a-f5c53c70995b"},"source":["from collections import Counter\n","Counter(x_res['promotion_last_5years'])"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Counter({0: 8223, 1: 8223})"]},"metadata":{"tags":[]},"execution_count":93}]},{"cell_type":"code","metadata":{"id":"a1r2PfSIsIvC","colab_type":"code","colab":{}},"source":["x_res_train = x_res.iloc[:,:-1]\n","y_res_train = x_res.iloc[:,-1] "],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"IMHqY-zSsIrU","colab_type":"code","colab":{}},"source":["x_res_train = x_res_train[columns]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Gqtb3OZTt-SI","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":53},"executionInfo":{"status":"ok","timestamp":1595240491186,"user_tz":-480,"elapsed":855,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"4a45b5f5-972e-473b-bc27-e34e18f50ebd"},"source":["x_test_new.columns == x_res_train.columns"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ True,  True,  True,  True,  True,  True,  True,  True,  True,\n","        True,  True,  True,  True,  True,  True,  True,  True,  True])"]},"metadata":{"tags":[]},"execution_count":220}]},{"cell_type":"markdown","metadata":{"id":"mic7d_wObU7x","colab_type":"text"},"source":["## 特征选择"]},{"cell_type":"markdown","metadata":{"id":"VesfdTdYL1Jz","colab_type":"text"},"source":["### 使用互信息筛选特征"]},{"cell_type":"code","metadata":{"id":"gEZjdgrvbU5G","colab_type":"code","colab":{}},"source":["skb = SelectKBest(mutual_info_regression).fit(x_res_train, y_res_train)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"LyHtLOH7cxaX","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":53},"executionInfo":{"status":"ok","timestamp":1595240533577,"user_tz":-480,"elapsed":850,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"dfbe2e8e-01c6-4d95-e6b4-d17d4637c25c"},"source":["np.round(skb.scores_, 2)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([1.73, 0.71, 2.64, 0.76, 0.2 , 0.62, 0.44, 0.35, 0.02, 0.09, 0.05,\n","       0.08, 0.21, 0.13, 0.01, 0.21, 0.08, 0.07])"]},"metadata":{"tags":[]},"execution_count":222}]},{"cell_type":"code","metadata":{"id":"hZ_qKtNzcxgt","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595240538327,"user_tz":-480,"elapsed":861,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"a6c8784c-502e-462d-924a-64a558166bce"},"source":["x_res_train_new = x_res_train[x_res_train.columns[skb.scores_ > 0.05]]\n","x_res_train_new.shape"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(16446, 16)"]},"metadata":{"tags":[]},"execution_count":223}]},{"cell_type":"code","metadata":{"id":"aVdMvONRSeBX","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595240542171,"user_tz":-480,"elapsed":862,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"9ecc5963-c84c-4acc-80b0-355274b12ca2"},"source":["x_test_new2 = x_test_new[x_test_new.columns[skb.scores_ > 0.05]]\n","x_test_new2.shape"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(3600, 16)"]},"metadata":{"tags":[]},"execution_count":224}]},{"cell_type":"markdown","metadata":{"id":"GPG1PeHlcxeK","colab_type":"text"},"source":["### 使用随机森林从互信息筛选后结果中选择满足条件的特征\n"]},{"cell_type":"code","metadata":{"id":"mAeo78nqcxWa","colab_type":"code","colab":{}},"source":["rfr1 = RandomForestRegressor(n_estimators=700, n_jobs=-1, random_state=0)\n","selector = SelectFromModel(rfr1).fit(x_res_train_new, y_res_train)\n","x_res_train_new2 = selector.transform(x_res_train_new)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"I4eF975ZS5BK","colab_type":"code","colab":{}},"source":["x_test_new2 = selector.transform(x_test_new2)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"WkmUGoDB6rCd","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595240617920,"user_tz":-480,"elapsed":1042,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"4ae4457f-65b4-4c1c-d492-a2be038950aa"},"source":["x_res_train_new2.shape"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(16446, 4)"]},"metadata":{"tags":[]},"execution_count":228}]},{"cell_type":"code","metadata":{"id":"AF3_qWnZ6zAI","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595240620930,"user_tz":-480,"elapsed":1244,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"434c42f3-4337-45b3-9689-84dacc08750b"},"source":["x_test_new2.shape"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(3600, 4)"]},"metadata":{"tags":[]},"execution_count":229}]},{"cell_type":"markdown","metadata":{"id":"lyMX6onHcxUW","colab_type":"text"},"source":["# 验证选择结果"]},{"cell_type":"markdown","metadata":{"id":"1efASHjkZyr8","colab_type":"text"},"source":["随机森林"]},{"cell_type":"code","metadata":{"id":"K3ZgEekZcxR6","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595240630786,"user_tz":-480,"elapsed":3618,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"ad6a0c5d-dafd-4969-c0d9-b4fa9ffc859c"},"source":["rfr2 = RandomForestRegressor(n_estimators=100, n_jobs=-1, oob_score=True)\n","rfr2.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, rfr2.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03575192208307043"]},"metadata":{"tags":[]},"execution_count":230}]},{"cell_type":"markdown","metadata":{"id":"6Tw-eG5A7SMA","colab_type":"text"},"source":["线性回归"]},{"cell_type":"code","metadata":{"id":"kJ4CG0Xp7YUr","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241171924,"user_tz":-480,"elapsed":851,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"3d522d23-4ed3-4109-a9ce-932c75a7e0e0"},"source":["lin_reg = LinearRegression()\n","lin_reg.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, lin_reg.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.05970494265421811"]},"metadata":{"tags":[]},"execution_count":233}]},{"cell_type":"markdown","metadata":{"id":"C0FqYjMd7kHK","colab_type":"text"},"source":["lasso & ridge\n","\n","在选择岭回归和Lasso时候，标准化是必须的。原因是正则化是有偏估计，会对权重进行惩罚。在量纲不同的情况，正则化会带来更大的偏差\n"]},{"cell_type":"code","metadata":{"id":"KgDj3b2j7nnb","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241176067,"user_tz":-480,"elapsed":822,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"3bda5841-bfff-43f6-fdaa-4773e36177a3"},"source":["lasso = Pipeline(\n","    [\n","     ('standard_df', StandardScaler()),\n","     ('lasso_cv',  LassoCV(cv=5)) # cv默认为5折交叉验证\n","    ]\n",")\n","\n","lasso.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, lasso.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.05970631142915684"]},"metadata":{"tags":[]},"execution_count":234}]},{"cell_type":"markdown","metadata":{"id":"sfH1W_zX9BIL","colab_type":"text"},"source":["ridge"]},{"cell_type":"code","metadata":{"id":"sYQ4yr7G9NBV","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241180109,"user_tz":-480,"elapsed":944,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"c285e696-31ce-4065-f6fd-bdfd50043276"},"source":["ridge = Pipeline(\n","    [\n","     ('standard_df', StandardScaler()),\n","     ('ridge_cv',  RidgeCV(cv=5))   # 不指定cv则默认使用留一法交叉验证\n","    ]\n",")\n","\n","ridge.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, ridge.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.059705785417026064"]},"metadata":{"tags":[]},"execution_count":235}]},{"cell_type":"markdown","metadata":{"id":"m2p8dW36Z2sp","colab_type":"text"},"source":["多项式回归"]},{"cell_type":"code","metadata":{"id":"RQoYEINWcxPM","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241183975,"user_tz":-480,"elapsed":884,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"44519c95-1be0-4604-e420-3ba1a4d2dfe0"},"source":["# 2次幂\n","poly_reg = Pipeline(\n","    [\n","     ('poly', PolynomialFeatures(degree=2)),\n","     ('standard_df', StandardScaler()),\n","     ('lin_reg',LinearRegression())\n","    ]\n","    )\n","\n","poly_reg.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, poly_reg.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.04199560351487282"]},"metadata":{"tags":[]},"execution_count":236}]},{"cell_type":"code","metadata":{"id":"mBjSArwS7Gkx","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241189087,"user_tz":-480,"elapsed":831,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"dbd196d1-882c-496d-b4b4-e1ade9350dd5"},"source":["# 3次幂\n","poly_reg = Pipeline(\n","    [\n","     ('poly', PolynomialFeatures(degree=3)),\n","     ('standard_df', StandardScaler()),\n","     ('lin_reg',LinearRegression())\n","    ]\n","    )\n","\n","poly_reg.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, poly_reg.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.04170206030492433"]},"metadata":{"tags":[]},"execution_count":237}]},{"cell_type":"markdown","metadata":{"id":"hBwgzuHocxKn","colab_type":"text"},"source":["交叉验证"]},{"cell_type":"code","metadata":{"id":"STisj9KvcxHQ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"executionInfo":{"status":"ok","timestamp":1595241207048,"user_tz":-480,"elapsed":14245,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"0b105492-d0e0-4a31-b8e2-0405b9fdf071"},"source":["# 注意这里使用的是负均方差函数\n","cross_score = cross_val_score(RandomForestRegressor(n_estimators=100, n_jobs=-1, oob_score=True),\n","                x_res_train_new2, y_res_train, cv=5, scoring='neg_mean_squared_error')\n","print(f\"cross_score = {-1 * cross_score}\")\n","print(f\"cross_score_mean = {-1 * cross_score.mean()}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["cross_score = [3.73805192e-02 3.72566311e-02 2.03737510e-02 4.38346137e-12\n"," 8.16047443e-12]\n","cross_score_mean = 0.01900218024945304\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"h4yCsQHAbU2P","colab_type":"text"},"source":["xgboost"]},{"cell_type":"code","metadata":{"id":"DqlY0iP0bUoh","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241214888,"user_tz":-480,"elapsed":1315,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"aa71d29f-1cb6-4fbc-f045-f0402b26b3b7"},"source":["xgb_reg = XGBRegressor(n_estimators=100,n_jobs=-1, verbosity=0)\n","xgb_reg.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, xgb_reg.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03705845305824416"]},"metadata":{"tags":[]},"execution_count":239}]},{"cell_type":"code","metadata":{"id":"nHAUtSsvMNUE","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241264724,"user_tz":-480,"elapsed":46251,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"58eb11b7-02a7-4466-8232-8919d17d3262"},"source":["pxgb1 = {'learning_rate':[0.01,0.04,0.07,0.10],\n","        'min_child_weight':[1,0.9,0.8,0.7,0.5]}\n","\n","xgb_gs = XGBRegressor(n_estimators=100,n_jobs=-1, verbosity=0)\n","params = {'learning_rate':[0.01,0.04,0.07,0.10],\n","        'min_child_weight':[1,0.9,0.8,0.7,0.5]}\n","\n","gscv_xgb = GridSearchCV(xgb_gs, params)\n","gscv_xgb.fit(x_res_train_new2, y_res_train)\n","\n","mean_squared_error(y_test, gscv_xgb.predict(x_test_new2))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03705845305824416"]},"metadata":{"tags":[]},"execution_count":240}]},{"cell_type":"code","metadata":{"id":"CTtrcLK7M4-L","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241270640,"user_tz":-480,"elapsed":775,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"2b635a22-8905-4667-8fd3-cebda5a3393e"},"source":["gscv_xgb.best_params_"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'learning_rate': 0.1, 'min_child_weight': 1}"]},"metadata":{"tags":[]},"execution_count":241}]},{"cell_type":"code","metadata":{"id":"nMYAxq5D_Avg","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"executionInfo":{"status":"ok","timestamp":1595241306100,"user_tz":-480,"elapsed":32635,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"c5ddcd03-6bd3-430a-dab1-657556480527"},"source":["# 注意这里使用的是负均方差函数\n","cross_score = cross_val_score(XGBRegressor(n_estimators=700,n_jobs=-1, verbosity=0, learning_rate=0.1, min_child_weight=1),\n","                x_res_train_new2, y_res_train, cv=10, scoring='neg_mean_squared_error')\n","print(f\"cross_score = {-1 * cross_score}\")\n","print(f\"cross_score_mean = {-1 * cross_score.mean()}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["cross_score = [0.03819613 0.03631532 0.03531136 0.03676025 0.03644817 0.00513595\n"," 0.00183416 0.00189157 0.00185797 0.0019147 ]\n","cross_score_mean = 0.019566556314636153\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"WXWeBasZSzFH","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"GRUhckUaBd9m","colab_type":"text"},"source":["# 特征选择效果还行，试试全量训练\n","\n"]},{"cell_type":"markdown","metadata":{"id":"ut9vh7AJ4U8M","colab_type":"text"},"source":["随机森林"]},{"cell_type":"code","metadata":{"id":"_6OF2mVLBd97","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241348107,"user_tz":-480,"elapsed":32647,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"27309d21-559c-4e61-909a-be56c2570a97"},"source":["rfr_all = RandomForestRegressor(n_estimators=700, n_jobs=-1, oob_score=True, random_state=0)\n","rfr_all.fit(x_res_train, y_res_train)\n","\n","mean_squared_error(y_test, rfr_all.predict(x_test_new))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03355284086736771"]},"metadata":{"tags":[]},"execution_count":243}]},{"cell_type":"code","metadata":{"id":"F3yPlunWnauQ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"executionInfo":{"status":"ok","timestamp":1595241490958,"user_tz":-480,"elapsed":137284,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"46ac1f0d-8146-4cb3-f23a-a78c9ca1446d"},"source":["# 交叉验证一下\n","# 注意这里使用的是负均方差函数\n","cross_score = cross_val_score(RandomForestRegressor(n_estimators=700, n_jobs=-1, oob_score=True, random_state=0),\n","                x_res_train, y_res_train, cv=5, scoring='neg_mean_squared_error')\n","print(f\"cross_score = {-1 * cross_score}\")\n","print(f\"cross_score_mean = {-1 * cross_score.mean()}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["cross_score = [3.39925629e-02 3.37717741e-02 1.83951073e-02 6.80089510e-13\n"," 6.09974579e-13]\n","cross_score_mean = 0.01723188885553768\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"gJ5J-D-XZHEt","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595225451759,"user_tz":-480,"elapsed":157715,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"93e098ed-f54a-4b75-ba55-b2daf0920024"},"source":["rfr_all_gs = RandomForestRegressor(n_estimators=700, oob_score=True, n_jobs=-1, bootstrap=True, random_state=0)\n","params = {\n","    'max_samples': [500, 1000, 2000, 3000, 4000 ,5000],\n","    'max_features': [5, 10, 15, 18]\n","}\n","\n","rfr_all_gscv = GridSearchCV(rfr_gs, params)\n","rfr_all_gscv.fit(x_res_train, y_res_train)\n","mean_squared_error(y_test, rfr_all_gscv.predict(x_test_new))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03375651560123379"]},"metadata":{"tags":[]},"execution_count":128}]},{"cell_type":"code","metadata":{"id":"E1hfjhe1oOGo","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595238684949,"user_tz":-480,"elapsed":1594,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"c37e0b1b-adec-4a59-fea8-dc9f5cf150fa"},"source":["rfr_all_gscv.best_params_"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'max_features': 5, 'max_samples': 5000}"]},"metadata":{"tags":[]},"execution_count":166}]},{"cell_type":"code","metadata":{"id":"7yWwdgsvorPb","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"executionInfo":{"status":"ok","timestamp":1595241836438,"user_tz":-480,"elapsed":41782,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"3a8f1eca-cc50-4cc7-ef12-754bbeefb459"},"source":["cross_score = cross_val_score(RandomForestRegressor(n_estimators=700, max_features=5, max_samples=5000, oob_score=True, n_jobs=-1, bootstrap=True, random_state=0),\n","                x_res_train, y_res_train, cv=5, scoring='neg_mean_squared_error')\n","print(f\"cross_score = {-1 * cross_score}\")\n","print(f\"cross_score_mean = {-1 * cross_score.mean()}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["cross_score = [3.28434868e-02 3.25417893e-02 1.77327058e-02 3.47527577e-08\n"," 2.87147892e-09]\n","cross_score_mean = 0.016623603909645845\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"fV5tgMEpBd-H","colab_type":"text"},"source":["xgboost\n"]},{"cell_type":"code","metadata":{"id":"bDDqFFyuBd-R","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241846569,"user_tz":-480,"elapsed":7690,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"951db002-aa3a-4a35-e186-8e7c6a104bd1"},"source":["xgb_reg2 = XGBRegressor(n_estimators=700,n_jobs=-1, verbosity=0)\n","xgb_reg2.fit(x_res_train, y_res_train)\n","\n","mean_squared_error(y_test, xgb_reg2.predict(x_test_new))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03659933235076085"]},"metadata":{"tags":[]},"execution_count":246}]},{"cell_type":"markdown","metadata":{"id":"Qh0v5eIHBd-8","colab_type":"text"},"source":["lightgbm"]},{"cell_type":"code","metadata":{"id":"mcKmYXdNBd_G","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595241850280,"user_tz":-480,"elapsed":2135,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"35298000-fe5c-41f0-e0db-1c04ecf053eb"},"source":["lgb_reg = LGBMRegressor(n_estimators=700,n_jobs=-1, random_state=0)\n","lgb_reg.fit(x_res_train, y_res_train)\n","\n","mean_squared_error(y_test, lgb_reg.predict(x_test_new))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03498161142958251"]},"metadata":{"tags":[]},"execution_count":247}]},{"cell_type":"code","metadata":{"id":"pjW3rywJpd3Q","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"executionInfo":{"status":"ok","timestamp":1595241861120,"user_tz":-480,"elapsed":6673,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"983f44f3-a77e-48fd-d2b0-0f61e2fbb344"},"source":["cross_score = cross_val_score(LGBMRegressor(n_estimators=700, n_jobs=-1, random_state=0),\n","                x_res_train, y_res_train, cv=5, scoring='neg_mean_squared_error')\n","print(f\"cross_score = {-1 * cross_score}\")\n","print(f\"cross_score_mean = {-1 * cross_score.mean()}\")"],"execution_count":null,"outputs":[{"output_type":"stream","text":["cross_score = [3.62974731e-02 3.66904552e-02 1.97692555e-02 1.33674167e-05\n"," 1.31058702e-05]\n","cross_score_mean = 0.01855673143000216\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"15AMcpzpBd_R","colab_type":"text"},"source":["### 试一下别的集成方法"]},{"cell_type":"markdown","metadata":{"id":"ioGGIEn-Bd_Y","colab_type":"text"},"source":["### stacking方法"]},{"cell_type":"markdown","metadata":{"id":"CONqTIiLi8Cv","colab_type":"text"},"source":["stack1"]},{"cell_type":"code","metadata":{"id":"X38oXCjIBd_i","colab_type":"code","colab":{}},"source":["# 初始化基模型\n","xgb_stack = XGBRegressor(n_jobs=-1, verbosity=0, random_state=0)\n","rfr_stack = RandomForestRegressor(n_estimators=700, n_jobs=-1, oob_score=True, random_state=0)\n","gbdt_stack = GradientBoostingRegressor()\n","\n","models = [xgb_stack, rfr_stack, gbdt_stack]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"XWhjW3ioBeAe","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595242043365,"user_tz":-480,"elapsed":172190,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"e1d502bd-3790-4ea5-d2d6-02804763eea9"},"source":["stack = StackingCVRegressor(models, meta_regressor=gbdt_stack)\n","stack.fit(x_res_train.values, y_res_train.values)\n","\n","mean_squared_error(y_test.values, stack.predict(x_test_new.values))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.033409394397890466"]},"metadata":{"tags":[]},"execution_count":250}]},{"cell_type":"markdown","metadata":{"id":"6AKkX-QyBeAs","colab_type":"text"},"source":["stack2"]},{"cell_type":"code","metadata":{"id":"GWEm-gHBBeA4","colab_type":"code","colab":{}},"source":["# 初始化基模型\n","xgb_stack2 = XGBRegressor(n_jobs=-1, verbosity=0, random_state=0)\n","rfr_stack2 = RandomForestRegressor(n_estimators=700, n_jobs=-1, oob_score=True, random_state=0)\n","gbdt_stack2 = GradientBoostingRegressor()\n","\n","models_2 = [xgb_stack2, rfr_stack2, gbdt_stack2]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"6VpvOYkkBeBG","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595242171920,"user_tz":-480,"elapsed":237618,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"d1a49784-9b76-4e2e-c53e-f9132ee30c0f"},"source":["stack2 = StackingCVRegressor(models_2, meta_regressor=gbdt_stack2)\n","stack2.fit(x_train_new.values, y_train.values)\n","\n","mean_squared_error(y_test.values, stack2.predict(x_test_new.values))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.03244319354787681"]},"metadata":{"tags":[]},"execution_count":252}]},{"cell_type":"code","metadata":{"id":"FxzYzC1DpR9u","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"N-68LVD1BeBP","colab_type":"text"},"source":["stack3"]},{"cell_type":"code","metadata":{"id":"M3a7fk6yBeBW","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1595242294348,"user_tz":-480,"elapsed":359909,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"b1078da5-72b3-4107-a4db-e2a5ba4d23c1"},"source":["# 初始化基模型\n","rfr_stack3 = RandomForestRegressor(n_estimators=700, n_jobs=-1, oob_score=True, random_state=0)\n","xgb_stack2 = XGBRegressor(n_jobs=-1, verbosity=0, random_state=0)\n","xgb_stack3 = XGBRegressor(n_jobs=-1, verbosity=0, random_state=0)\n","\n","models_3 = [rfr_stack3, xgb_stack2, xgb_stack3]\n","\n","stack3 = StackingCVRegressor(models_3, meta_regressor=xgb_stack3)\n","stack3.fit(x_train_new.values, y_train.values)\n","\n","mean_squared_error(y_test.values, stack3.predict(x_test_new.values))"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.032234603733994976"]},"metadata":{"tags":[]},"execution_count":253}]},{"cell_type":"code","metadata":{"id":"rWnwx4RZBeBm","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"v3oHjGfR2mB3","colab_type":"text"},"source":["# 输出结果"]},{"cell_type":"code","metadata":{"id":"izCPLXHR2lSp","colab_type":"code","colab":{}},"source":["satisfaction_level = stack3.predict(test_new.values)\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"HJmvSa_n2lOg","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":53},"executionInfo":{"status":"ok","timestamp":1595242452608,"user_tz":-480,"elapsed":504,"user":{"displayName":"Birch Kwok","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gij3-shrtoTRz3VhtlRcDJlntN_XfOxPMf9CkIc=s64","userId":"12697168301203261264"}},"outputId":"d4f1661d-e5ee-4bec-eecf-b79be25ab84f"},"source":["satisfaction_level"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0.7535652 , 0.10684142, 0.43634605, ..., 0.6807203 , 0.6916484 ,\n","       0.41009074], dtype=float32)"]},"metadata":{"tags":[]},"execution_count":257}]},{"cell_type":"code","metadata":{"id":"BV0xnfL62lLn","colab_type":"code","colab":{}},"source":["result = test_set['id'].to_frame()\n","result['satisfaction_level'] = satisfaction_level\n","result.to_csv(\"/content/drive/My Drive/竞赛/员工预测赛/result.csv\", index=False)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"PwiejK9T2lJM","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"drSBsyzw2lGn","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"53sJPyUiBeBu","colab_type":"text"},"source":["# 改进方向"]},{"cell_type":"markdown","metadata":{"id":"c_yVt6HJBeB1","colab_type":"text"},"source":["\n","\n","1. 选择指定特征进行stacking\n","2. 特征工程加入强特征构建步骤，并使用随机森林查看构建特征重要性\n","3. 对数据插值进行控制，不使用简单随机过采样策略，对特定列使用smote过采样，对其他列进行简单过采样\n","4. 比较stacking方法的不同模型效果，尝试使用集成基模型和简单基模型结合的方法，尤其是参数学习与非参数学习算法的结合\n","\n","\n"]},{"cell_type":"code","metadata":{"id":"I_WzEG6tbKA3","colab_type":"code","colab":{}},"source":[""],"execution_count":null,"outputs":[]}]}